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Added 1 min ago
Energy Efficiency and Decarbonization Engineer
Siemens
Montreal, QC
…of decarbonization efforts. As an Energy and Decarbonization Engineer, you will have the opportunity to work closely with our customers and partners, helping them navigate the complex…
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Full-time
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Added 14 mins ago
Geotechnical Design Manager, for COWI in North America
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Energy and Decarbonization Engineer (Halifax, NS)
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Siemens

Quality Assurance Engineer - Physical AI hub, Kitchener

Kitchener, ON, Canada

Experience: 3+ years of strong experience building automated tests for complex software systems, including API, integration, system, and end-to-end test layers.
Posting language: English
Posted: Oct 2, 2026

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Original job description

Change the future with us.

We are looking for dedicated and talented people who solve ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what’s truly important: making lives better with new ideas and the latest technology around the world.

About the role:

Are you passionate about making complex robotics and AI systems testable, repeatable, and safe to change? Do you enjoy building validation infrastructure that can run at the push of a button, produce traceable evidence, and turn failures into actionable follow-up work?

We are seeking a QA / Test Automation Engineer to help validate the Physical AI Runtime across orchestration, harnessing, edge deployment, traceability, and hardware-in-the-loop scenarios. This engineer will build scalable test automation and validation workflows for runtime behavior, AI harness policies, agentic recovery, end-to-end robot tasks, requirements coverage, evidence capture, and release-readiness decisions.

What you will do:

Build automated test suites for runtime workflows, APIs, harness policies, agentic recovery, and operator handover.
Design E2E and HIL validation scenarios for robot tasks, edge deployment, diagnostics, tracing, and data capture.
Build one-click validation workflows that execute scenario suites, collect logs, traces, video, robot state, requirements coverage, and produce reviewable release evidence.
Build agent-assisted test workflows that assemble test context, execute validation scenarios, summarize failures, generate defect reports, and recommend follow-up investigations.
Create test fixtures, simulators, fakes, controlled datasets, and lab procedures that make failures reproducible.
Validate safety-envelope checks, fallback paths, retry behavior, exception handling, and completion-gating logic.
Integrate test evidence into CI/CD release gates, dashboards, artifacts, and issue triage workflows.
Partner with engineering teams to turn requirements, architecture contracts, and acceptance criteria into automated checks with traceable pass/fail evidence.
Analyze failures using logs, traces, video, sensor data, robot state, and runtime metadata.

What you will bring:

Bachelor's or Master's degree in Computer Science, Software Engineering, Robotics, Electrical Engineering, Mechatronics, Automation Engineering, or a related field.
3+ years of strong experience building automated tests for complex software systems, including API, integration, system, and end-to-end test layers.
Strong programming skills in Python, TypeScript, C++, or another language used for test infrastructure and automation.
Experience with CI/CD, test orchestration, test fixtures, test data management, reproducible environments, artifact capture, and failure triage.
Ability to design tests for event-driven workflows, distributed services, asynchronous behavior, retries, timeouts, and state transitions.
Experience validating logs, traces, metrics, audit records, and other evidence needed to reproduce failures.
Experience linking requirements, acceptance criteria, test cases, execution results, defects, and release gates in a traceable validation workflow.
Practical understanding of hardware-in-the-loop testing, simulation, emulation, fakes, mocks, or controlled lab test setups.
Ability to define acceptance criteria with engineers and product owners and translate them into maintainable automated checks.
Strong problem-solving skills for isolating failures across application logic, infrastructure, hardware, sensors, and data contracts.

What sets you apart:

Experience testing robotics, industrial automation, machine vision, edge compute, or cyber-physical systems.
Experience with agentic AI, nondeterministic model behavior, model evaluation, prompt or policy regression, or AI-assisted workflow validation.
Experience with test automation frameworks such as PyTest, Robot Framework, Playwright, Selenium, CI/CD test runners, simulation frameworks, or HIL test orchestration tools.
Experience building automated defect reports, failure summaries, trace packages, requirements coverage reports, or release-readiness dashboards.
Knowledge of HIL test benches, robot simulators, camera fixtures, PLC or controller test environments, and lab automation.
Experience testing safety envelopes, validation policies, operator handover, fallback paths, or recovery logic.
Familiarity with traceability requirements, audit evidence, release gates, and customer-facing quality metrics.
Ability to build useful tests for ambiguous real-world behavior, not only deterministic API responses.
Strong judgment about balancing test coverage, execution time, maintainability, and release confidence.

Work environment:

This role includes hands-on testing with robot cells, cameras, edge devices, HIL setups, and prototype lab infrastructure.
Hybrid work is supported, with on-site presence expected for lab automation, integration testing, failure reproduction, and release validation

Why join us?

Impact: Build the founding team and platform capability for a strategic Physical AI initiative in Canada.
Innovation: Work at the intersection of robotics, AI, industrial software, workflow orchestration, and platform engineering.
Leadership: Shape the direction, culture, and operating model of a new strategic engineering organization.
Collaboration: Partner with leading global research, product, and engineering teams.
Growth: Help define how Physical AI platform capabilities scale from data foundations to runtime-enabled industrial applications.

Salary is commensurate with experience, and ranges between $ 90,000 CAD - $ 140,000 CAD, excluding bonus and benefits. In addition to base salary, this role includes eligibility for an annual discretionary bonus of 10% of base salary, based on Company performance metrics.

Why you’ll love working for Siemens!

Freedom and a healthy work- life balance– Embrace our flexible work environment with flex hours, telecommuting and digital workspaces.
Solve the world’s most significant problems – Be part of exciting and innovative projects.
Engaging, challenging, and fast evolving, cutting edge technological environment.
Opportunities to advance your career and mentorship programs on a local and global scale.
Competitive total rewards package.
Profit sharing available.
Rewarding vacation entitlement with the opportunity to buy and sell your vacation depending on your lifestyle.
Contribute to our social responsibility initiatives focused on access to education, access to technology and sustaining communities and make a positive impact on the community.
Participate in our celebrations, social events and offsite business events.
Opportunities to contribute your innovative ideas and get paid for them!
Employee perks and discounts.
Diversity and inclusivity focused.

Siemens is proud to be an eight-time award winner of Canada’s Top 100 Employers, Canada’s Greenest Employers 2025 and Canada’s Top Employers for Young People 2025.

About us.

We share our ideas and champion the people behind them.

Siemens Canada is a leading technology company focused on industry, infrastructure, mobility and healthcare. The company’s purpose is to create technology with purpose, transforming the everyday, for everyone, since 1912. By combining the real and the digital worlds, Siemens empowers its customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more liveable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

In fiscal 2024, which ended September 30, 2024, Siemens Canada had revenues of approx. $2.2 billion CAD. The company has approximately 4,400 employees from coast-to-coast and 37 office and production facilities across Canada.

To learn more about Siemens Canada, visit our website at www.siemens.ca

While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted.

#LI- Hybrid

Siemens is committed to creating a diverse environment and is proud to be an equal opportunity employer. Upon request, Siemens Canada will provide reasonable accommodation for disabilities to support participation of candidates in all aspects of the recruitment process. All qualified applicants will receive consideration for employment.

By submitting personal information to Siemens Canada Limited or its affiliates, service providers and agents, you consent to our collection, use and disclosure of such information for the purposes described in our Privacy Notice available at www.siemens.ca.

Siemens s’engage à créer un environnement diversifié et est fière d’être un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Sur demande, Siemens Canada prendra des mesures d’accommodement raisonnables pour les personnes handicapées, dans le but de soutenir la participation des candidats dans tous les aspects du processus de recrutement. Tous les candidats qualifiés seront pris en considération pour ce poste.

En transmettant des renseignements personnels à Siemens Canada limitée ou à ses sociétés affiliées, à ses fournisseurs de services ou à ses agents, vous nous autorisez à recueillir, à utiliser et à divulguer ces renseignements aux fins prévues dans notre Déclaration de protection de la confidentialité, que vous pouvez consulter au www.siemens.ca.

Job ID

524233

Posted since

30-Sep-2026

Organization

Digital Industries

Field of work

Research & Development

Company

Siemens Canada Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

Kitchener - Ontario - Canada

Apply About employer

More about this job

Responsibilities

The QA Engineer will build scalable test automation and validation workflows for Physical AI runtime, including orchestration, edge deployment, and hardware-in-the-loop scenarios. They will partner with engineering teams to turn requirements into automated checks and analyze failures using logs, traces, and sensor data.

Requirements

Candidates must hold a Bachelor's or Master's degree in a relevant engineering or computer science field and possess 3+ years of experience in automated testing for complex software systems. Proficiency in Python, TypeScript, or C++ and experience with CI/CD and test orchestration are required.

Skills

Test automation
Python
TypeScript
C++
CI/CD
Robotics
Hardware-in-the-loop testing
API testing
System integration
Edge deployment
Traceability
Data capture
Simulation
Agentic AI
Failure analysis
Requirement coverage

Benefits

Annual discretionary bonus
Flexible work environment
Flex hours
Telecommuting
Digital workspaces
Profit sharing
Vacation entitlement
Mentorship programs
Employee perks and discounts
Social responsibility initiatives

Visa sponsorship

Not detected in the job text

Keywords

Quality Assurance
Physical AI
Robotics
Test Automation
Python
TypeScript
C++
CI/CD
Hardware-in-the-loop
API
Edge Computing
Machine Vision
PyTest
Robot Framework
Playwright
Selenium
Simulation
Traceability
Software Engineering
Mechatronics
Automation Engineering
Data Capture
Agentic AI
Regression Testing
System Integration
Validation
Digital Industries
Industrial Automation
Runtime Behavior
Release Readiness

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